Ike Antkare one of the great stars in the scientific firmament

Ike AntkareUniversity of Grenoble

LIG Laboratory

14 april 2010

Abstract

How Ike Antkare became one of the most highly cited scientists in the modern world andhow you could become like him.

1 Introduction

Google scholar is one of the most powerful tools that allows researchers to share and findscientific publications. It is also used as a means of measuring the individual output ofresearchers (h− index [7], g− index [5], hm− index [8], ...). Several tools (scholarometer [4],publish or perish [6], Scholar H-Index Calculator [3], H-view [1],...) computes these metricsusing the data provided by Google Scholar.

Since the 8th of April 2010, these tools have allowed Ike Antkare to become one ofthe most highly cited scientists of the modern world (see figure 3,2,4,5,6). According toScholarometer, Ike Antkare has 102 publications (almost all in 2009) and has an h-index of94, putting him in the 21st position of the most highly cited scientists. This score is lessthan Freud, in 1st position with a h-index of 183, but better than Einstein in 36th positionwith a h-index of 84. Best of all, in regards to the hm-index Ike Antkare is in sixth positionoutclassing all scientists in his field (computer science).

This document explains why this is possible and how you could become as good as IkeAntkare. The first section demonstrates how relatively decent, fake scientific documents canbe generated on the necessary scale. The second section explains what has to be done forthese documents to be indexed by Google / Google scholar and thus Scholarometer, publishor perish,...

2 The Holy Grail of a lazy scientist

Scigen [2] is an automatic generator of amazing and funny articles using the jargon of thecomputer science field. Scigen is based on hand-written contex-free grammar and has beendeveloped in the PDOS research group at MIT CSAIL. It was initially aimed at testingthe selection process of contributions to apparently dubious conferences. Titles, authors,sections, bibliography, graphs and figures can be automatically generated. But titles andauthors can also be chosen. In the production of Ike Antkare’s bibliography, these tools wereslightly modified to generate:

• a list of n titles,

• n articles titled using the previous titles. Each article cited the whole set of the narticles (itself included),

• a html page, providing titles, abstracts and links to pdf files.

1

Ike Antkare’s 101 DocumentsReal Documents

Figure 1: References between fake and real documents.

3 Make it public

For an article to be indexed in Google Scholar it has to have at least one reference to anarticle already indexed in Google Scholar. For Ike Antkare’s set of articles to be indexed, anextra reference to an already indexed article was added to each of them. This was achievedby generating a document referencing only real articles [14] and by adding an extra referenceto this document in each of the 100 generated articles [81, 57, 12, 40, 31, 24, 95, 10, 105, 47,45, 75, 21, 37, 101, 41, 69, 27, 79, 86, 55, 51, 83, 82, 104, 70, 42, 93, 19, 106, 72, 50, 88, 30,43, 48, 13, 33, 11, 59, 77, 102, 28, 17, 62, 87, 89, 71, 98, 74, 23, 15, 52, 65, 22, 99, 53, 66, 29,64, 49, 97, 61, 44, 107, 103, 78, 34, 56, 26, 91, 90, 73, 46, 109, 94, 58, 20, 36, 39, 67, 35, 92,80, 25, 76, 32, 9, 60, 18, 68, 108, 84, 38, 85, 63, 54, 96, 100, 16](see figure 1).

As a final step, the html pages providing links to the 101 pdf files must be crawled bya Googlebot. This takes an undetermined time, however the fastest and guaranteed resultsare obtained by using http://www.google.com/addurl/. Theory says that Ike Antkare’sh− index = g− index = hm − index = 1001... But, as you know, theory and real world areoften slightly different.

4 Conclusion

At this point in time, tools computing individual researcher performance indices usingGoogle scholar are not reliable. This experiment shows how easily and to what extentcomputed values can be distorted. It is worth noting that this distortion could have beeneasily achieved using names of real people, thus helping them discretely or discrediting themnoisily.

It is widely accepted that important decisions on the future of a scientist cannot be takenbased on these criteria. Moreover, the case of Ike Antkare implies that one takes a careful

1or 99 without counting references of a document to itself

2

look, not only at documents, but also at documents citing documents.

References

[1] http://hview.limsi.fr/, April 2010.

[2] http://pdos.csail.mit.edu/scigen/, April 2010.

[3] http://userscripts.org/scripts/show/59378, April 2010.

[4] Indiana University Bloomington. http://scholarometer.indiana.edu, April 2010.

[5] Leo Egghe. Mathematical theory of the h- and g-index in case of fractional counting ofauthorship. JASIST, 59(10):1608–1616, 2008.

[6] A.W. Harzing. Publish or perish, available at www.harzing.com/pop.html, 2010.

[7] J. E. Hirsch. An index to quantify an individual’s scientific research output. Proceedingsof the National Academy of Sciences, 102(46):16569–16572, November 2005.

[8] Michael Schreiber. To share the fame in a fair way, h m modifies h for multi-authoredmanuscripts. New Journal of Physics, 10(4):040201, 2008.

Acknowledgement: The author would like to thank Yves D. and Edward A. for theirhelp.

3

Appendices

A Screenshots

Figure 2: Ike Antkare’s hm-index according Scholarometer.

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Figure 3: Ike Antkare’s h-index according Scholarometer.

Figure 4: Ike Antkare’s performance indices according Scholarometer.

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Figure 5: Ike Antkare’s performance indices according Publish or Perish.

Figure 6: Ike Antkare.

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B Ike Antkare’s publications

[9] Ike Antkare. Analysis of reinforcement learning. In Proceedings of the Conference onReal-Time Communication, February 2009.

[10] Ike Antkare. Analysis of the Internet. Journal of Bayesian, Event-Driven Communi-cation, 258:20–24, July 2009.

[11] Ike Antkare. Analyzing interrupts and information retrieval systems using begohm. InProceedings of FOCS, March 2009.

[12] Ike Antkare. Analyzing massive multiplayer online role-playing games using highly-available models. In Proceedings of the Workshop on Cacheable Epistemologies, March2009.

[13] Ike Antkare. Analyzing scatter/gather I/O and Boolean logic with SillyLeap. InProceedings of the Symposium on Large-Scale, Multimodal Communication, October2009.

[14] Ike Antkare. Architecting E-Business Using Psychoacoustic Modalities. PhD thesis,United Saints of Earth, 2009.

[15] Ike Antkare. Bayesian, pseudorandom algorithms. In Proceedings of ASPLOS, August2009.

[16] Ike Antkare. BritishLanthorn: Ubiquitous, homogeneous, cooperative symmetries. InProceedings of MICRO, December 2009.

[17] Ike Antkare. A case for cache coherence. Journal of Scalable Epistemologies, 51:41–56,June 2009.

[18] Ike Antkare. A case for cache coherence. In Proceedings of NSDI, April 2009.

[19] Ike Antkare. A case for lambda calculus. Technical Report 906-8169-9894, UCSD,October 2009.

[20] Ike Antkare. Comparing von Neumann machines and cache coherence. TechnicalReport 7379, IIT, November 2009.

[21] Ike Antkare. Constructing 802.11 mesh networks using knowledge-base communica-tion. In Proceedings of the Workshop on Real-Time Communication, July 2009.

[22] Ike Antkare. Constructing digital-to-analog converters and lambda calculus using Die.In Proceedings of OOPSLA, June 2009.

[23] Ike Antkare. Constructing web browsers and the producer-consumer problem usingCarob. In Proceedings of the USENIX Security Conference, March 2009.

[24] Ike Antkare. A construction of write-back caches with Nave. Technical Report 48-292,CMU, November 2009.

[25] Ike Antkare. Contrasting Moore’s Law and gigabit switches using Beg. Journal ofHeterogeneous, Heterogeneous Theory, 36:20–24, February 2009.

[26] Ike Antkare. Contrasting public-private key pairs and Smalltalk using Snuff. In Pro-ceedings of FPCA, February 2009.

[27] Ike Antkare. Contrasting reinforcement learning and gigabit switches. Journal ofBayesian Symmetries, 4:73–95, July 2009.

[28] Ike Antkare. Controlling Boolean logic and DHCP. Journal of Probabilistic, SymbioticTheory, 75:152–196, November 2009.

[29] Ike Antkare. Controlling telephony using unstable algorithms. Technical Report 84-193-652, IBM Research, February 2009.

[30] Ike Antkare. Deconstructing Byzantine fault tolerance with MOE. In Proceedings ofthe Conference on Signed, Electronic Algorithms, November 2009.

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[31] Ike Antkare. Deconstructing checksums with rip. In Proceedings of the Workshop onKnowledge-Base, Random Communication, September 2009.

[32] Ike Antkare. Deconstructing DHCP with Glama. In Proceedings of VLDB, May 2009.

[33] Ike Antkare. Deconstructing RAID using Shern. In Proceedings of the Conference onScalable, Embedded Configurations, April 2009.

[34] Ike Antkare. Deconstructing systems using NyeInsurer. In Proceedings of FOCS, July2009.

[35] Ike Antkare. Decoupling context-free grammar from gigabit switches in Boolean logic.In Proceedings of WMSCI, November 2009.

[36] Ike Antkare. Decoupling digital-to-analog converters from interrupts in hash tables.Journal of Homogeneous, Concurrent Theory, 90:77–96, October 2009.

[37] Ike Antkare. Decoupling e-business from virtual machines in public-private key pairs.In Proceedings of FPCA, November 2009.

[38] Ike Antkare. Decoupling extreme programming from Moore’s Law in the World WideWeb. Journal of Psychoacoustic Symmetries, 3:1–12, September 2009.

[39] Ike Antkare. Decoupling object-oriented languages from web browsers in congestioncontrol. Technical Report 8483, UCSD, September 2009.

[40] Ike Antkare. Decoupling the Ethernet from hash tables in consistent hashing. InProceedings of the Conference on Lossless, Robust Archetypes, July 2009.

[41] Ike Antkare. Decoupling the memory bus from spreadsheets in 802.11 mesh networks.OSR, 3:44–56, January 2009.

[42] Ike Antkare. Developing the location-identity split using scalable modalities. TOCS,52:44–55, August 2009.

[43] Ike Antkare. The effect of heterogeneous technology on e-voting technology. In Pro-ceedings of the Conference on Peer-to-Peer, Secure Information, December 2009.

[44] Ike Antkare. The effect of virtual configurations on complexity theory. In Proceedingsof FPCA, October 2009.

[45] Ike Antkare. Emulating active networks and multicast heuristics using ScrankyHypo.Journal of Empathic, Compact Epistemologies, 35:154–196, May 2009.

[46] Ike Antkare. Emulating the Turing machine and flip-flop gates with Amma. In Pro-ceedings of PODS, April 2009.

[47] Ike Antkare. Enabling linked lists and gigabit switches using Improver. Journal ofVirtual, Introspective Symmetries, 0:158–197, April 2009.

[48] Ike Antkare. Evaluating evolutionary programming and the lookaside buffer. In Pro-ceedings of PLDI, November 2009.

[49] Ike Antkare. An evaluation of checksums using UreaTic. In Proceedings of FPCA,February 2009.

[50] Ike Antkare. An exploration of wide-area networks. Journal of Wireless Models,17:1–12, January 2009.

[51] Ike Antkare. Flip-flop gates considered harmful. TOCS, 39:73–87, June 2009.

[52] Ike Antkare. GUFFER: Visualization of DNS. In Proceedings of ASPLOS, August2009.

[53] Ike Antkare. Harnessing symmetric encryption and checksums. Journal of Compact,Classical, Bayesian Symmetries, 24:1–15, September 2009.

[54] Ike Antkare. Heal: A methodology for the study of RAID. Journal of PseudorandomModalities, 33:87–108, November 2009.

[55] Ike Antkare. Homogeneous, modular communication for evolutionary programming.Journal of Omniscient Technology, 71:20–24, December 2009.

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[56] Ike Antkare. The impact of empathic archetypes on e-voting technology. In Proceedingsof SIGMETRICS, December 2009.

[57] Ike Antkare. The impact of wearable methodologies on cyberinformatics. Journal ofIntrospective, Flexible Symmetries, 68:20–24, August 2009.

[58] Ike Antkare. An improvement of kernels using MOPSY. In Proceedings of SIGCOMM,June 2009.

[59] Ike Antkare. Improvement of red-black trees. In Proceedings of ASPLOS, September2009.

[60] Ike Antkare. The influence of authenticated archetypes on stable software engineering.In Proceedings of OOPSLA, July 2009.

[61] Ike Antkare. The influence of authenticated theory on software engineering. Journalof Scalable, Interactive Modalities, 92:20–24, June 2009.

[62] Ike Antkare. The influence of compact epistemologies on cyberinformatics. Journal ofPermutable Information, 29:53–64, March 2009.

[63] Ike Antkare. The influence of pervasive archetypes on electrical engineering. Journalof Scalable Theory, 5:20–24, February 2009.

[64] Ike Antkare. The influence of symbiotic archetypes on oportunistically mutually exclu-sive hardware and architecture. In Proceedings of the Workshop on Game-TheoreticEpistemologies, February 2009.

[65] Ike Antkare. Investigating consistent hashing using electronic symmetries. IEEEJSAC, 91:153–195, December 2009.

[66] Ike Antkare. An investigation of expert systems with Japer. In Proceedings of theWorkshop on Modular, Metamorphic Technology, June 2009.

[67] Ike Antkare. Investigation of wide-area networks. Journal of Autonomous Archetypes,6:74–93, September 2009.

[68] Ike Antkare. IPv4 considered harmful. In Proceedings of the Conference on Low-Energy, Metamorphic Archetypes, October 2009.

[69] Ike Antkare. Kernels considered harmful. Journal of Mobile, Electronic Epistemologies,22:73–84, February 2009.

[70] Ike Antkare. Lamport clocks considered harmful. Journal of Omniscient, EmbeddedTechnology, 61:75–92, January 2009.

[71] Ike Antkare. The location-identity split considered harmful. Journal of Extensible,“Smart” Models, 432:89–100, September 2009.

[72] Ike Antkare. Lossless, wearable communication. Journal of Replicated, MetamorphicAlgorithms, 8:50–62, October 2009.

[73] Ike Antkare. Low-energy, relational configurations. In Proceedings of the Symposiumon Multimodal, Distributed Algorithms, November 2009.

[74] Ike Antkare. LoyalCete: Typical unification of I/O automata and the Internet. InProceedings of the Workshop on Metamorphic, Large-Scale Communication, August2009.

[75] Ike Antkare. Maw: A methodology for the development of checksums. In Proceedingsof PODS, September 2009.

[76] Ike Antkare. A methodology for the deployment of consistent hashing. Journal ofBayesian, Ubiquitous Technology, 8:75–94, March 2009.

[77] Ike Antkare. A methodology for the deployment of the World Wide Web. Journal ofLinear-Time, Distributed Information, 491:1–10, June 2009.

[78] Ike Antkare. A methodology for the evaluation of a* search. In Proceedings of HPCA,November 2009.

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[79] Ike Antkare. A methodology for the study of context-free grammar. In Proceedings ofMICRO, August 2009.

[80] Ike Antkare. A methodology for the synthesis of object-oriented languages. In Pro-ceedings of the USENIX Security Conference, September 2009.

[81] Ike Antkare. Multicast frameworks no longer considered harmful. In ArchitectingE-Business Using Psychoacoustic Modalities, June 2009.

[82] Ike Antkare. Multimodal methodologies. Journal of Trainable, Robust Models, 9:158–195, August 2009.

[83] Ike Antkare. Natural unification of suffix trees and IPv7. In Proceedings of ECOOP,June 2009.

[84] Ike Antkare. Omniscient models for e-business. In Proceedings of the USENIX SecurityConference, July 2009.

[85] Ike Antkare. On the study of reinforcement learning. In Proceedings of the Conferenceon “Smart”, Interposable Methodologies, May 2009.

[86] Ike Antkare. On the visualization of context-free grammar. In Proceedings of ASPLOS,January 2009.

[87] Ike Antkare. OsmicMoneron: Heterogeneous, event-driven algorithms. In Proceedingsof HPCA, June 2009.

[88] Ike Antkare. Permutable, empathic archetypes for RPCs. Journal of Virtual, LosslessTechnology, 84:20–24, February 2009.

[89] Ike Antkare. Pervasive, efficient methodologies. In Proceedings of SIGCOMM, August2009.

[90] Ike Antkare. Probabilistic communication for 802.11b. NTT Techincal Review, 75:83–102, March 2009.

[91] Ike Antkare. QUOD: A methodology for the synthesis of cache coherence. Journal ofRead-Write, Virtual Methodologies, 46:1–17, July 2009.

[92] Ike Antkare. Read-write, probabilistic communication for scatter/gather I/O. Journalof Interposable Communication, 82:75–88, January 2009.

[93] Ike Antkare. Refining DNS and superpages with Fiesta. Journal of Automated Rea-soning, 60:50–61, July 2009.

[94] Ike Antkare. Refining Markov models and RPCs. In Proceedings of ECOOP, October2009.

[95] Ike Antkare. The relationship between wide-area networks and the memory bus. OSR,61:49–59, March 2009.

[96] Ike Antkare. SheldEtch: Study of digital-to-analog converters. In Proceedings ofNDSS, January 2009.

[97] Ike Antkare. A simulation of 16 bit architectures using OdylicYom. Journal of SecureModalities, 4:20–24, March 2009.

[98] Ike Antkare. Simulation of evolutionary programming. Journal of Wearable, Authen-ticated Methodologies, 4:70–96, September 2009.

[99] Ike Antkare. Smalltalk considered harmful. In Proceedings of the Conference onPermutable Theory, November 2009.

[100] Ike Antkare. Symbiotic communication. TOCS, 284:74–93, February 2009.

[101] Ike Antkare. Synthesizing context-free grammar using probabilistic epistemologies. InProceedings of the Symposium on Unstable, Large-Scale Communication, November2009.

[102] Ike Antkare. Towards the emulation of RAID. In Proceedings of the WWW Conference,November 2009.

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[103] Ike Antkare. Towards the exploration of red-black trees. In Proceedings of PLDI,March 2009.

[104] Ike Antkare. Towards the improvement of 32 bit architectures. In Proceedings ofNSDI, December 2009.

[105] Ike Antkare. Towards the natural unification of neural networks and gigabit switches.Journal of Classical, Classical Information, 29:77–85, February 2009.

[106] Ike Antkare. Towards the synthesis of information retrieval systems. In Proceedingsof the Workshop on Embedded Communication, December 2009.

[107] Ike Antkare. Towards the understanding of superblocks. Journal of Concurrent,Highly-Available Technology, 83:53–68, February 2009.

[108] Ike Antkare. Understanding of hierarchical databases. In Proceedings of the Workshopon Data Mining and Knowledge Discovery, October 2009.

[109] Ike Antkare. An understanding of replication. In Proceedings of the Symposium onStochastic, Collaborative Communication, June 2009.

C Pages 1 and 3 of a fake document generated usingscigen

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Developing the Location-Identity Split UsingScalable Modalities

Ike Antkare

International Institute of TechnologyUnited Slates of EarthIke.Antkare@iit.use

ABSTRACT

Systems engineers agree that event-driven information arean interesting new topic in the field of algorithms, and biolo-gists concur. In fact, few information theorists would disagreewith the analysis of redundancy, which embodies the practicalprinciples of algorithms. We construct a large-scale tool forarchitecting neural networks, which we call RokyTue.

I. I NTRODUCTION

The implications of atomic communication have been far-reaching and pervasive. The notion that steganographers con-nect with “smart” archetypes is continuously considered in-tuitive. Along these same lines, this is a direct result of thedevelopment of the World Wide Web. Thus, the investigationof write-back caches and DHCP have paved the way for therefinement of e-business.

A confirmed method to overcome this challenge is thetheoretical unification of interrupts and online algorithms. Ourframework provides the construction of operating systems [4],[16], [23], [32], [49], [49], [73], [73], [73], [87]. Similarly,the usual methods for the evaluation of IPv6 do not apply inthis area. Furthermore, it should be noted that our frameworkturns the virtual technology sledgehammer into a scalpel.As a result, our application is based on the construction ofinformation retrieval systems.

Here, we argue that the much-tauted ubiquitous algorithmfor the study of 802.11 mesh networks runs inΩ(n) time.Next, despite the fact that conventional wisdom states thatthischallenge is rarely fixed by the refinement of interrupts, webelieve that a different method is necessary. Contrarily, thissolution is often well-received. Similarly, for example, manyheuristics construct the exploration of I/O automata. Thoughsuch a hypothesis at first glance seems counterintuitive, itisderived from known results. The flaw of this type of approach,however, is that the location-identity split and the UNIVACcomputer can agree to address this quagmire. Thusly, ouralgorithm is copied from the principles of cryptography.

In this position paper, we make two main contributions. Tostart off with, we construct a replicated tool for investigatingthe UNIVAC computer (RokyTue), which we use to argue thatpublic-private key pairs and compilers [2], [13], [23], [29],[33], [37], [39], [67], [93], [97] are regularly incompatible.

Further, we motivate new “fuzzy” configurations (RokyTue),showing that the foremost modular algorithm for the improve-ment of XML by Andrew Yao et al. is optimal.

The rest of this paper is organized as follows. To start offwith, we motivate the need for Scheme. On a similar note, toaccomplish this objective, we show that even though robotsand the memory bus are rarely incompatible, Internet QoScan be made atomic, decentralized, and symbiotic. Finally,weconclude.

II. RELATED WORK

In this section, we discuss related research into telephony,probabilistic communication, and perfect configurations.Thissolution is less expensive than ours. Li and Harris suggesteda scheme for architecting low-energy epistemologies, but didnot fully realize the implications of random symmetries at thetime [19], [37], [43], [47], [61], [71], [74], [75], [78], [96].The choice of cache coherence in [11], [13], [22], [34], [42],[62], [64], [80], [85], [98] differs from ours in that we studyonly robust technology in our approach [3], [5], [25], [35],[40], [51], [69], [75], [87], [94].

Our method is related to research into stable symmetries,the understanding of Internet QoS, and perfect modalities [9],[15], [20], [54], [63], [66], [79]–[81], [90]. Further, insteadof developing the producer-consumer problem, we realizethis ambition simply by exploring model checking [7], [14],[21], [40], [44], [45], [57], [58], [85], [91]. However, theseapproaches are entirely orthogonal to our efforts.

III. ROKYTUE DEPLOYMENT

Suppose that there exists efficient theory such that we caneasily deploy low-energy models. Similarly, consider the earlymodel by Kumar and Zhao; our methodology is similar, butwill actually surmount this grand challenge. See our existingtechnical report [26], [36], [41], [48], [53], [56], [70], [89],[95], [99] for details.

Furthermore, our method does not require such a confusingallowance to run correctly, but it doesn’t hurt. This seemsto hold in most cases. We assume that the synthesis ofthe location-identity split can enable lossless configurationswithout needing to explore DNS. we carried out a 8-year-long trace demonstrating that our framework is unfounded.

0

50

100

150

200

250

40 50 60 70 80 90 100

PD

F

time since 1953 (GHz)

planetary-scaleubiquitous information

Fig. 3. The effective clock speed of our heuristic, compared withthe other heuristics.

-4

-3

-2

-1

0

1

2

3

-60 -40 -20 0 20 40 60 80 100

ener

gy (

man

-hou

rs)

interrupt rate (Joules)

Fig. 4. The effective sampling rate of RokyTue, as a function ofseek time.

we asked (and answered) what would happen if topologicallyBayesian multi-processors were used instead of spreadsheets;(2) we ran fiber-optic cables on 93 nodes spread throughoutthe 1000-node network, and compared them against Byzantinefault tolerance running locally; (3) we dogfooded RokyTueon our own desktop machines, paying particular attention toeffective optical drive speed; and (4) we ran superpages on 49nodes spread throughout the Internet network, and comparedthem against online algorithms running locally.

We first explain experiments (3) and (4) enumerated aboveas shown in Figure 3. We scarcely anticipated how accurateour results were in this phase of the evaluation. We scarcelyanticipated how precise our results were in this phase of theperformance analysis. Similarly, note that Figure 3 shows theeffectiveand noteffectiveprovably randomized effective tapedrive throughput.

Shown in Figure 3, the first two experiments call attention toRokyTue’s instruction rate. The data in Figure 3, in particular,proves that four years of hard work were wasted on thisproject. Next, Gaussian electromagnetic disturbances in ourmobile telephones caused unstable experimental results. Theresults come from only 2 trial runs, and were not reproducible.

Lastly, we discuss experiments (1) and (3) enumerated

above. Of course, all sensitive data was anonymized duringour bioware deployment. Even though this might seem coun-terintuitive, it is supported by previous work in the field.Note how deploying superpages rather than emulating themin courseware produce less jagged, more reproducible results[2], [4], [4], [16], [23], [32], [49], [73], [73], [87]. Bugsin our system caused the unstable behavior throughout theexperiments.

VI. CONCLUSION

In this position paper we confirmed that consistent hashingand A* search are generally incompatible [4], [13], [29], [33],[37], [39], [67], [93], [97], [97]. We have a better understand-ing how expert systems can be applied to the refinement ofe-commerce. We verified that redundancy and A* search cancooperate to answer this grand challenge. In fact, the maincontribution of our work is that we disconfirmed that althoughthe famous trainable algorithm for the development of accesspoints by Kenneth Iverson et al. [19], [43], [47], [61], [71],[73], [75], [78], [87], [87] follows a Zipf-like distribution, webbrowsers and congestion control can interfere to realize thisobjective.

In conclusion, in this position paper we verified that com-pilers and forward-error correction can collude to addressthis issue. Next, we also explored a novel framework for thedevelopment of Moore’s Law. Our architecture for architectingcache coherence is shockingly promising. To realize this objec-tive for the synthesis of DHTs, we proposed new knowledge-base algorithms. Continuing with this rationale, we constructeda heterogeneous tool for improving Boolean logic (RokyTue),showing that 4 bit architectures and forward-error correctionare rarely incompatible. We expect to see many informationtheorists move to studying our heuristic in the very near future.

REFERENCES

[1] Ike Antkare. Analysis of reinforcement learning. InProceedings ofthe Conference on Real-Time Communication, February 2009.

[2] Ike Antkare. Analysis of the Internet.Journal of Bayesian, Event-Driven Communication, 258:20–24, July 2009.

[3] Ike Antkare. Analyzing interrupts and information retrieval systemsusingbegohm. In Proceedings of FOCS, March 2009.

[4] Ike Antkare. Analyzing massive multiplayer online role-playing gamesusing highly- available models. InProceedings of the Workshop onCacheable Epistemologies, March 2009.

[5] Ike Antkare. Analyzing scatter/gather I/O and Boolean logic with Sil-lyLeap. InProceedings of the Symposium on Large-Scale, MultimodalCommunication, October 2009.

[6] Ike Antkare.Architecting E-Business Using Psychoacoustic Modalities.PhD thesis, United Saints of Earth, 2009.

[7] Ike Antkare. Bayesian, pseudorandom algorithms. InProceedings ofASPLOS, August 2009.

[8] Ike Antkare. BritishLanthorn: Ubiquitous, homogeneous, cooperativesymmetries. InProceedings of MICRO, December 2009.

[9] Ike Antkare. A case for cache coherence.Journal of ScalableEpistemologies, 51:41–56, June 2009.

[10] Ike Antkare. A case for cache coherence. InProceedings of NSDI,April 2009.

[11] Ike Antkare. A case for lambda calculus. Technical Report 906-8169-9894, UCSD, October 2009.

[12] Ike Antkare. Comparing von Neumann machines and cache coherence.Technical Report 7379, IIT, November 2009.